Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
Abstract: Deep neural networks have significantly improved the performance of low-level vision tasks but also increased the difficulty of interpretability. A deep understanding of deep models is ...
From the first 5 rows of the dataset, we can see that there are several columns available: species, island, bill_length_mm, bill_depth_mm, flipper_length_mm, body_mass_g, and sex. There also appears ...
1 School of Advanced Translation and Interpretation, Dalian University of Foreign Languages, Dalian, China 2 School of English Studies, Dalian University of Foreign Languages, Dalian, China This study ...
Healthcare AI technology startup No Barrier, which focuses on AI live speech translation/AI interpreting, announced on November 18, 2025, that it had successfully closed a USD 2.7m seed round in ...
ABSTRACT: As interactions between companies in the same industry chain become more interconnected, customers have become a key factor impacting company strategy and operations. Along the same lines, ...
Abstract: Symbolic Regression (SR) is a powerful technique for uncovering hidden mathematical expressions from observed data and has broad applications in scientific discovery and automatic ...
Grade-school age Maya talks with interpreter Angela Blackdeer at the Shakopee Mdewakanton Sioux Community Wacipi, an annual powwow held near Prior Lake on Aug. 16.
Scholars trained in the use of factorial ANOVAs have increasingly begun using linear modelling techniques. When models contain interactions between continuous variables (or powers of them), it has ...
Court interpreting is a notoriously high-stakes, context-sensitive endeavor — and rightfully so, especially with regard to criminal cases. While adopting new technology in this vertical necessarily ...
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